Triple
T25237204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cboe Volatility Index |
E632369
|
entity |
| Predicate | lowValueIndicates |
P11409
|
FINISHED |
| Object | low expected volatility |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: low expected volatility | Statement: [Cboe Volatility Index, lowValueIndicates, low expected volatility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowValueIndicates Context triple: [Cboe Volatility Index, lowValueIndicates, low expected volatility]
-
A.
lowerValueIndicates
chosen
Indicates that a smaller numerical value of a property or measurement corresponds to a greater degree, better outcome, or stronger presence of the relevant characteristic.
-
B.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
C.
lowReCharacteristic
Indicates that the subject has a low characteristic related to electrical resistance (Re), such as low resistance or a low real part of impedance.
-
D.
lowerLimit
Indicates that one value serves as the minimum or smallest allowable bound or threshold for another value or range.
-
E.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfb2c9c8190b34148512dd535c8 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:07 p.m.